以西门子杯中国智能制造挑战赛离散行业自动化赛项为例，首先强调培养大学生创新实践能力的重要性。其次从三个方面详细阐述参加和推进学科竞赛与提高大学生创新实践能力的内在逻辑关系。再次，具体到智能制造挑战赛，重点分析该学科竞赛在培养创新人才中的优势。最后，指出智能制造挑战赛是提高大学生创新实践能力，培养创新人才的重要途径。以离散行业自动化赛项为例，重点分析智能制造挑战赛在提高大学生创新实践能力的作用。

电路原理是我校电气工程及其自动化的一门重要的基础课,教材中所讲述的电路模型和基本定律比较抽象,学生在学习的过程中往往只会利用理论知识分析电路图,本文以大学生电子设计竞赛为导向,对电路原理课程进行教学改革,通过竞赛中的一个具体任务提高学生的创新能力和实践能力,不仅有利于教学和科研的相互促进,同时也让学生充分了解电气工程专业发展的最新动态.

Speech enhancement is very important for mobile communications or some other applications in car. The energy distribution of signal is the basis of algorithms which denoise noisy speech in time-frequency domain. In this work, the noise regarded is the tire-road noise when driving in expressway. Wavelet packets transform is used in the analysis. After decomposing noise signal and noisy speech signal by wavelet packet transform, the analysis for the difference of the energy distribution between noisy speech and noise is finished.

A new simulation experimental system of electrical equipment is proposed in this paper,which can simulate the work of electrical equipment by configuration software.The controller of the system can control the simulated equipment through serial communication between MCU and configuration software which is based on Modbus protocol.The configuration software can simulate the normal work of electrical equipment and monitor the fault in real time.Some simulation experiments regarding to an elevator system have been done and the results achieve the desired effect.

This paper presents a transient detection method that combines continuous wavelet transform (CWT) and Kolmogorov–Smirnov (K–S) test for machine fault diagnosis. According to this method, the CWT represents the signal in the time-scale plane, and the proposed “step-by-step detection” based on K–S test identifies the transient coefficients. Simulation study shows that the transient feature can be effectively identified in the time-scale plane with the K–S test. Moreover, the transients can be further transformed back into the time domain through the inverse CWT. The proposed method is then utilized in the gearbox vibration transient detection for fault diagnosis, and the results show that the transient features both expressed in the time-scale plane and re-constructed in the time domain characterize the gearbox condition and fault severity development more clearly than the original time domain signal. The proposed method is also applied to the vibration signals of cone bearings with the localized fault in the inner race, outer race and the rolling elements, respectively. The detected transients indicate not only the existence of the bearing faults, but also the information about the fault severity to a certain degree.

A transient detection method based on Continuous Wavelet Transform and K-S test is presented for gearbox fault diagnosis. The proposed method are utilized in the gearbox vibration transient detection for fault diagnosis and the outcomes show that the gearbox vibration transients in time-scale space can be effectively detected; both the transient feature in time-scale space and the transient evaluation in time domain show the gearbox fault severity.

A remote intelligent control strategy for nonlinear system with uncertainty under network environment is presented, which is based on neural networks nonlinear compensator and linear state feedback controller. A neural networks on-line observer is used to learning the nonlinear characteristics of the local system in order to realize feedback linearization. The weights of neural networks are updated on-line without need of persistency of excitation and the uniformly ultimately bounded stability of the closed-loop error system can be obtained. Finally, a remote controller with state feedback is applied to the linearized system with time-delay, and stability of the closed-loop networked-control system is guaranteed by Lyapunov stability theory.

A novel fuzzy-predictor-based delays compensating algorithm for nonlinear networked control systems is presented in this paper.The stability of the closed-loop system is proved in the design of fuzzy controller,fuzzy observer and fuzzy predictor based on the Takagi-Sugeno(T-S) fuzzy model by using separation property.Simulation results illustrate the effectiveness of the presented algorithm.

When a CPU connects with more than two nodes in networked control system (NCS), two classes of NCS's scheduling, task scheduling and network scheduling, are investigated. A new approach for dynamical priority assignment based on IAE (integral-absolute-error) performance index is presented. A novel scheduling protocol based on RM-IAE is designed to integrate the performance of scheduling and control in networked control system. Simulation results reveal the effectiveness of the proposed protocol. Sampling jitter and input-output latency are presented to analyze the influence in scheduling and control in NCS.